The SDML book club started discussing Reinfocement Learning: An Introduction (second edition) by Richard Sutton and Andrew Barto in May 2021. A PDF copy of the book and other related material can be found on Richard Sutton's book website.
Below are the notes/slides and meetup recordings:
Week 1: Introduction to Reinforcement Learning
Here is the full Meetup event description.
Most of the material was drawn from chapters 1 and 3 of the Sutton & Barto book.
Slides and Meetup video will be posted after the session.
Week 2: Dynamic Programming and Monte Carlo Methods for RL
The material for this session will come from chapters 4 and 5 of the Sutton & Barto book.
An implementation of the examples in the book in Python has been shared in this repo: https://github.com/ShangtongZhang/reinforcement-learning-an-introduction. I haven't had a chance to review it to validate all of the code runs without errors.